Matthias Weidlich | DeepAI

DeepAI AI Chat

Featured Co-authors

Hongzhi Yin
105 publications
Marlon Dumas
44 publications
Karl Aberer
34 publications
Quoc Viet Hung Nguyen
34 publications
Stefanie Rinderle-Ma
25 publications
Ingo Weber
25 publications
Fabrizio Maria Maggi
23 publications
Niek Tax
19 publications
Timotheus Kampik
17 publications
Artem Polyvyanyy
16 publications
Phi-Le Nguyen
16 publications

∙ 09/02/2023

Large Process Models: Business Process Management in the Age of Generative AI

The continued success of Large Language Models (LLMs) and other generati...

0 Timotheus Kampik, et al. ∙

∙ 05/01/2023

PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization

Anonymization of event logs facilitates process mining while protecting ...

0 Ryan Hildebrant, et al. ∙

∙ 11/11/2022

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

Advances in deep neural network (DNN) architectures have enabled new pre...

0 Thanh Trung Huynh, et al. ∙

∙ 07/17/2022

Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs

The propagation of rumours on social media poses an important threat to ...

0 Thanh Tam Nguyen, et al. ∙

∙ 05/13/2022

Detecting Rumours with Latency Guarantees using Massive Streaming Data

Today's social networks continuously generate massive streams of data, w...

0 Thanh Tam Nguyen, et al. ∙

∙ 12/03/2021

GECCO: Constraint-driven Abstraction of Low-level Event Logs

Process mining enables the analysis of complex systems using event data ...

0 Adrian Rebmann, et al. ∙

∙ 09/17/2021

SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining

Privacy-preserving process mining enables the analysis of business proce...

0 Stephan A. Fahrenkrog-Petersen, et al. ∙

∙ 07/14/2021

A Distance Measure for Privacy-preserving Process Mining based on Feature Learning

To enable process analysis based on an event log without compromising th...

0 Fabian Rösel, et al. ∙

∙ 03/22/2021

Privacy-aware Process Performance Indicators: Framework and Release Mechanisms

Process performance indicators (PPIs) are metrics to quantify the degree...

0 Martin Kabierski, et al. ∙

∙ 08/21/2020

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining

This paper presents a command-line tool, called Entropia, that implement...

0 Artem Polyvyanyy, et al. ∙

∙ 07/05/2020

Partial Order Resolution of Event Logs for Process Conformance Checking

While supporting the execution of business processes, information system...

0 Han van der Aa, et al. ∙

∙ 06/23/2020

PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information

Event logs capture the execution of business processes in terms of execu...

0 Stephan A. Fahrenkrog-Petersen, et al. ∙

∙ 09/06/2019

Parallel Computation of Graph Embeddings

Graph embedding aims at learning a vector-based representation of vertic...

0 Chi Thang Duong, et al. ∙

∙ 05/23/2019

Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring

Predictive process monitoring is a family of techniques to analyze event...

1 Stephan A. Fahrenkrog-Petersen, et al. ∙

∙ 01/08/2019

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Deep learning models are trained on servers with many GPUs, and training...

0 Alexandros Koliousis, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world